Large language models (LLMs) like GPT-3 and Llama-2, encompassing billions of parameters, have dramatically advanced our capability to understand and generate human language. However, the considerable computational resources required to train and deploy these models presents a significant challenge, especially in resource-limited circumstances. The primary issue associated with the deployment of LLMs is their enormity,…
Large language models (LLMs) are crucial in advancing artificial intelligence, particularly in refining the ability of AI models to follow detailed instructions. This complex process involves enhancing the datasets used in training LLMs, which ultimately leads to the creation of more sophisticated and versatile AI systems. However, the challenge lies in the dependency on high-quality…
Open-source software forms the backbone of many technologies used daily by individuals globally and brings together a community of developers. However, maintaining these projects can be time-consuming due to repetitive tasks such as bug triage and code reviews. Google is looking to alleviate these repetitive tasks and reduce the manual effort involved in maintaining open-source…
Researchers have been refocusing the abilities of Large Vision-Language Models (LVLMs), typically passive technological entities, to participate more proactively in interactions. Large Vision-Language Models are crucial for tasks needing visual understanding and language processing. However, they often provide heavily detailed and confident responses, even when they face unclear or invalid questions, leading to potentially biased…
In the domain of large language models (LLMs), text-to-speech (TTS) synthesis presents a unique challenge, and researchers are exploring their potential for audio synthesis. Historically, systems have used various methodologies, from reassembling audio segments to using acoustic parameters, and more recently, generating mel-spectrograms directly from text. However, these methods face limitations like lower fidelity and…
Mistral AI has unveiled the new Mathstral model, an innovation designed specifically for mathematical reasoning and scientific discovery. The model, named Mathstral as an homage to Archimedes on the occasion of his 2311th anniversary, comprises a vast 7 billion parameters and a 32,000-token context window, and is made available under the Apache 2.0 license.
The Mathstral…
Telecommunication, the transmission of information over distances, is fundamental in our modern world, enabling the channeling of voice, data, and video via technologies including radio, television, satellite and the internet to support global connectivity and data exchange. But while innovations in the field continue to improve the speed, reliability, and efficiency of communication systems, existing…
Telecommunications is a field involving the transmission of information over distances to facilitate communication. It uses various technologies such as radio, television, satellite, and the internet for voice, data, and video transmission and plays a fundamental role in societal and economic functions.
However, Large Language Models (LLMs) that are typically used in the field lack specialised…
Creating comprehensive and detailed outlines for long-form articles such as those found on Wikipedia is a considerable challenge due to issues in capturing the full depth of the topic, thus leading to shallow or poorly structured articles. This pivotal problem originates from systems' inability to ask the correct queries and source information from a variety…